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Deploying artificial intelligence for climate change adaptation

2022Journal article Restricted access
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datacite.subject.sdg13:Ação Climáticapt_PT
dc.contributor.authorLeal Filho, Walter
dc.contributor.authorWall, T.
dc.contributor.authorRui Mucova, S. A.
dc.contributor.authorNagy, G.
dc.contributor.authorBalogun, A. L.
dc.contributor.authorLuetz, J. M.
dc.contributor.authorNg, A. W.
dc.contributor.authorKovaleva, M.
dc.contributor.authorSafiul Azam, F. M.
dc.contributor.authorAlves, Fátima
dc.contributor.authorGuevara, Z.
dc.contributor.authorMatandirotya, N. R.
dc.contributor.authorSkouloudis, A.
dc.contributor.authorTzachor, A.
dc.contributor.authorMalakar, K.
dc.contributor.authorGandhi, O.
dc.date.accessioned2023-01-05T05:49:46Z
dc.date.available2023-01-05T05:49:46Z
dc.date.issued2022
dc.description.abstractArtificial Intelligence (AI) is believed to have a significant potential use in tackling climate change. This paper explores the connections between AI and climate change research as a whole and its usefulness in climate change adaptation efforts in particular. Using a systematic review of the literature on applications of AI for climate change adaptation and a questionnaire survey of a multinational and interdisciplinary team of climate change researchers, this paper shows the various means via which AI can support research on climate change in diverse regions, and contribute to efforts towards climate change adaptation. The surveyed articles are classified under nine areas, e.g., Global/Earth Related; Water-related Issues and agriculture, 95% of which are related to adaptation. The areas that have attracted the most studies about AI applications are water-related management issues (38%). In terms of the survey results, the most robust agreements were noted concerning the capacity of digitisation and AI to strengthen governance practices and afford policy coherence in climate change. Evidence gathered in the study suggests that, provided that due care is taken, the use of AI can provide a welcome support to global efforts to better understand and handle the many challenges associated with a changing climate.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationLeal Filho, W., Wall, T., Rui Mucova, S.A., Nagy, G.J., Balogun, A.-L., Luetz, J.M., Ng, A.W., Kovaleva, M., Safiul Azam, F.M., Alves, F., Guevara, Z., Matandirotya, N.R., Skouloudis, A., Tzachor, A., Malakar, K., Gandhi, O. (2022). Deploying artificial intelligence for climate change adaptation, in Technological Forecasting and Social Change, Elsevier, Volume 180, 121662, ISSN 0040-1625, https://doi.org/10.1016/j.techfore.2022.121662. (https://www.sciencedirect.com/science/article/pii/S0040162522001949)pt_PT
dc.identifier.doi10.1016/j.techfore.2022.121662pt_PT
dc.identifier.issn0040-1625
dc.identifier.urihttp://hdl.handle.net/10400.2/13012
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.subjectArtificial intelligencept_PT
dc.subjectDigital technologiespt_PT
dc.subjectClimate change adaptationpt_PT
dc.titleDeploying artificial intelligence for climate change adaptationpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleTechnological Forecasting and Social Changept_PT
person.familyNameLeal Filho
person.familyNameAlves
person.givenNameWalter
person.givenNameFátima
person.identifier0000000121351158
person.identifier.ciencia-idE01A-32E6-9A1C
person.identifier.ciencia-idF41D-6E75-A58D
person.identifier.orcid0000-0002-1241-5225
person.identifier.orcid0000-0003-2600-8652
person.identifier.scopus-author-id6602389932
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication0d49a950-cba6-4eb9-aeca-586aa2eb615c
relation.isAuthorOfPublication01db740c-0644-4274-a03f-4c348c8b8ac5
relation.isAuthorOfPublication.latestForDiscovery01db740c-0644-4274-a03f-4c348c8b8ac5

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